need a postprocessing script to calculate reporting variables

[hunteke]

Currently, if a modeler wants information that is not directly necessary to solve the model, the only way to reliably calculate the information is through additional structural variables on the model. They are simple equivalences, rather than inequalities, and so are not needed. These structural variables may be referred to as "reporting variables", and currently include information such as EnergyConsumptionBy* or InvestmentBy*.

Any decent solver will remove these useless columns (variables), but they also incur a non-negligible time and memory cost within Pyomo. These could be calculated by the modeler after the fact, but unless it's done directly with each solve, the chance of a mismatch during calculation increases with time.

Ideally then, we'd have a post-processing script that would be run after the solve is complete.